INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
A Study on Cloud Computing for Big Data Analysis in Bioinformatics
Authors Name:
Manish Kumar
, Dr. (Prof.) Deva Prakash
Unique Id:
IJSDR1806075
Published In:
Volume 3 Issue 6, June-2018
Abstract:
Bioinformatics is an interdisciplinary field, advances in information technology and life sciences have had a significant impact on it. Research in bioinformatics uses a tremendous quantity of complicated data. Although still in its development, cloud computing holds the potential to assist bioinformatics experts with their enormous data storage and processing challenges. Analysis of huge data volumes is another aspect. The traditional methods employed in bioinformatics take a long time to provide results, and it is also challenging to assess the intricate structure of the data involved. With the use of cloud computing technologies, the issues experienced by bioinformatics researchers in order to conduct their study in an affordable and quick manner may be readily handled. Cloud computing is therefore beneficial for bioinformatics research. As a result, it becomes necessary to use machines with enormous processing power, which raises the cost of doing bioinformatics research. The present state of the art in bioinformatics and big data analytics is also explained, along with any possible problems that may arise in upcoming research. Bioinformatics has taken a further step ahead from internal computing infrastructure into utility-provided cloud computing offered over the Internet to manage the large volumes of biological data produced by high-throughput experimental procedures. In this article, we've discussed regarding how big data analytics will potentially be facilitated by cloud computing for bioinformatics researchers and we have examined the cloud-based services currently offered in the field of bioinformatics, characterize them into Data as a Service (DaaS), Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS), and also provide our perspectives on the use of cloud computing in this industry.
Keywords:
Big Data Analytics, Cloud computing, Bioinformatics, Big Data, Data storage, Data analysis
Cite Article:
"A Study on Cloud Computing for Big Data Analysis in Bioinformatics", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 6, page no.455 - 460, June-2018, Available :http://www.ijsdr.org/papers/IJSDR1806075.pdf
Downloads:
000337067
Publication Details:
Published Paper ID: IJSDR1806075
Registration ID:202890
Published In: Volume 3 Issue 6, June-2018
DOI (Digital Object Identifier):
Page No: 455 - 460
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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